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Updates for supported nics in a VM
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articles/databox-online/azure-stack-edge-gpu-create-virtual-machine-image.md

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ms.service: databox
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ms.subservice: edge
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ms.topic: how-to
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ms.date: 05/19/2022
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ms.date: 08/09/2022
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ms.author: alkohli
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#Customer intent: As an IT admin, I need to understand how to create Azure VM images that I can use to deploy virtual machines on my Azure Stack Edge Pro GPU device.
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To deploy VMs on your Azure Stack Edge Pro GPU device, you need to be able to create custom VM images that you can use to create VMs in Azure. This article describes the steps to create custom VM images in Azure for Windows and Linux VMs and download or copy those images to an Azure Storage account.
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There's a required workflow for preparing a custom VM image. For the image source, you need to use a fixed VHD from a Gen1 VM of any size that Azure supports. For VM size options, see [Supported VM sizes](azure-stack-edge-gpu-virtual-machine-sizes.md#supported-vm-sizes).
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There's a required workflow for preparing a custom VM image. For the image source, you need to use a fixed VHD from any size that Azure supports. For VM size options, see [Supported VM sizes](azure-stack-edge-gpu-virtual-machine-sizes.md#supported-vm-sizes).
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## Prerequisites
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The virtual machine can be a Generation 1 or Generation 2 VM. The OS disk that you use to create your VM image must be a fixed-size VHD of any size that Azure supports. For VM size options, see [Supported VM sizes](azure-stack-edge-gpu-virtual-machine-sizes.md#supported-vm-sizes).
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You can use any Windows Gen1 or Gen2 VM with a fixed-size VHD in Azure Marketplace. For a list Azure Marketplace images that could work, see [Commonly used Azure Marketplace images for Azure Stack Edge](azure-stack-edge-gpu-create-virtual-machine-marketplace-image.md#commonly-used-marketplace-images).
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You can use any Windows Gen1 or Gen2 VM with a fixed-size VHD in Azure Marketplace. For a of list Azure Marketplace images that could work, see [Commonly used Azure Marketplace images for Azure Stack Edge](azure-stack-edge-gpu-create-virtual-machine-marketplace-image.md#commonly-used-marketplace-images).
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2. Generalize the virtual machine. To generalize the VM, [connect to the virtual machine](azure-stack-edge-gpu-deploy-virtual-machine-powershell.md#connect-to-a-windows-vm), open a command prompt, and run the following `sysprep` command:
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### Using RHEL BYOS images
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If using Red Hat Enterprise Linux (RHEL) images, only the Red Hat Enterprise Linux Bring Your Own Subscription (RHEL BYOS) images, also known as the Red Hat gold images, are supported and can be used to create your VM image. The standard pay-as-you-go RHEL images on Azure Marketplace are not supported on Azure Stack Edge.
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If using Red Hat Enterprise Linux (RHEL) images, only the Red Hat Enterprise Linux Bring Your Own Subscription (RHEL BYOS) images, also known as the Red Hat gold images, are supported and can be used to create your VM image. The standard pay-as-you-go RHEL images on Azure Marketplace aren't supported on Azure Stack Edge.
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To create a VM image using the RHEL BYOS image, follow these steps:
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1. Log in to [Red Hat Subscription Management](https://access.redhat.com/management). Navigate to the [Cloud Access Dashboard](https://access.redhat.com/management/cloud) from the top menu bar.
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1. Sign in to [Red Hat Subscription Management](https://access.redhat.com/management). Navigate to the [Cloud Access Dashboard](https://access.redhat.com/management/cloud) from the top menu bar.
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1. Enable your Azure subscription. See [detailed instructions](https://access.redhat.com/documentation/en-us/red_hat_subscription_management/1/html/red_hat_cloud_access_reference_guide/getting-started-with-ca_cloud-access). Enabling the subscription will allow you to access the Red Hat Gold Images.
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1. Accept the Azure terms of use (only once per Azure Subscription, per image) and provision a VM. See [instructions](https://access.redhat.com/documentation/en-us/red_hat_subscription_management/1/html/red_hat_cloud_access_reference_guide/understanding-gold-images_cloud-access).

articles/databox-online/azure-stack-edge-gpu-virtual-machine-sizes.md

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ms.service: databox
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ms.topic: conceptual
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ms.date: 03/29/2022
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ms.date: 08/09/2022
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#Customer intent: As an IT admin, I need to understand how to create and manage virtual machines (VMs) on my Azure Stack Edge Pro device by using APIs, so that I can efficiently manage my VMs.
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includes/azure-stack-edge-gateway-supported-vm-sizes.md

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ms.service: databox
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ms.topic: include
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ms.date: 06/24/2022
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| Size  | vCPU  | Memory (GiB)  | Temp storage (GiB)  | Max OS disk throughput (IOPS)  | Max temp storage throughput (IOPS)  | Max data disk throughput (IOPS)  | Max data disks  | Max NICs  |
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|-------------------|-------|---------------|---------------------|--------------------------------|-------------------------------------|----------------------------------|-----------------|-----------|
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| **Standard_DS1_v2**  || 3.5  || 2000  | 4000  | 2300  |||
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| **Standard_DS2_v2**  ||| 14  | 2000  | 8000  | 2300  || 4  |
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| **Standard_DS2_v2**  ||| 14  | 2000  | 8000  | 2300  || 2  |
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| **Standard_DS3_v2**  || 14  | 28  | 2000  | 16000  | 2300  | 16  ||
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| **Standard_DS4_v2**  || 28  | 56  | 2000  | 32000  | 2300  | 32  ||
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| **Standard_DS5_v2**  | 16  | 56  | 112  | 2000  | 64000  | 2300  | 64  ||
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### N-series GPU optimized
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These sizes are supported for GPU VMs on your device and are optimized for compute-intensive GPU-accelerated applications, for example, inferencing workloads The GPU VM that you deploy should match the GPU type on your Azure Stack Edge device.
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These sizes are supported for GPU VMs on your device and are optimized for compute-intensive GPU-accelerated applications, for example, inferencing workloads. The GPU VM that you deploy should match the GPU type on your Azure Stack Edge device.
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#### For Nvidia's Tesla T4 GPU.
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| Size  | vCPU  | Memory (GiB)  | Temp storage (GiB)  | Max OS disk throughput (IOPS)  | Max temp storage throughput (IOPS)  | Max data disk throughput (IOPS)  | Max data disks  | Max NICs  |
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|-------------------|-------|---------------|---------------------|--------------------------------|-------------------------------------|----------------------------------|-----------------|-----------|
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| **Standard_DS2_v2_HPN**  ||| 14  | 2000  | 8000  | 2300  || 4  |
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| **Standard_DS2_v2_HPN**  ||| 14  | 2000  | 8000  | 2300  || 2  |
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| **Standard_DS3_v2_HPN**  || 14  | 28  | 2000  | 16000  | 2300  | 16  ||
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| **Standard_DS4_v2_HPN**  || 28  | 56  | 2000  | 32000  | 2300  | 32  ||
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